BustaNut

BustaNut — CS2 Stats

AU76561198067215145[U:1:106949417]Steam profile ↗✓ No bans

91Tracked matches50%Win rate2021Tracked since
CSDB Rating3.8 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim40
Positioning48
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY43–39–9Last 9147%Win rateWWLLLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · +2.6pp headshot accuracy · +19ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 15%
  • Avg reaction 561ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 627ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 617ms

Newest first, from the last 91 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim4.0
Utility1.0
Positioning4.8
Opening Duels1.4

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.0
Positioning4.8
Utility1.0
Mechanics5.7
Opening Duels1.3
Win Impact5.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time632ms−119ms
first ⅓ avg 751ms → last ⅓ avg 632ms
Headshot accuracy13.7%+2.2%
first ⅓ avg 11.6% → last ⅓ avg 13.7%

Rolling 5-match average across the last 91 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.16Best match rating · 13–6 · anubis, 13 Jan →
100%Best headshot accuracy · 3–1 · vertigo, 10 Dec →
391msFastest reaction time · 13–9 · mirage, 26 Dec →
13–1Biggest win · mirage, 23 May →

Across the last 91 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 67% over 9vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%-0.01
dust2C229–1341%-0.02
infernoC156–940%-0.03
overpassS96–367%0.01
cacheA85–363%-0.02
vertigoD62–433%-0.06
nuke—32–167%-0.05
anubis—21–150%0.02
ancient—10–10%-0.03
poseidon—10–10%-0.04

Across the last 91 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.3%Headshot accuracy
29.0%Accuracy (enemy spotted)
26.9%Spray accuracy
75.7%Counter-strafing
10.2°Preaim
626msReaction time
29.2%T opening success
40.1%CT opening success
0.36Enemies flashed / flash
0.0%Flash assists
3.74HE damage / grenade
0.92Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3414% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.361 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 29.1522% — below the 40% mark we flag

Spend your practice time on Vertigo

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–60.016%14 Jun →
cache13–5-0.0015%14 Jun →
inferno5–9-0.165%14 Jun →
inferno6–9-0.2024%14 Jun →
mirage5–13-0.0425%2 Jun →
dust213–60.0512%2 Jun →
cache13–8-0.0617%23 May →
dust21–13-0.0718%23 May →
ancient8–13-0.0326%23 May →
vertigo5–13-0.0713%23 May →
mirage13–10.0920%23 May →
dust25–13-0.089%23 May →
anubis5–13-0.1310%23 May →
inferno11–130.017%23 May →
cache3–12-0.0313%23 May →
cache13–110.0211%15 May →
overpass12–120.0422%15 May →
mirage13–110.0011%15 May →
inferno9–4-0.019%15 May →
nuke4–9-0.0622%15 May →
poseidon8–8-0.0421%15 May →
inferno2–9-0.170%15 May →
mirage11–130.019%16 Feb →
dust213–30.042%16 Feb →
dust22–13-0.0820%15 Feb →
dust211–130.0319%15 Feb →
dust29–13-0.0112%15 Feb →
dust27–13-0.016%15 Feb →
dust28–130.0124%14 Feb →
dust212–12-0.024%14 Feb →
dust213–6-0.080%14 Feb →
dust213–50.0020%14 Feb →
dust213–3-0.0233%14 Feb →
vertigo13–8-0.0216%15 Sept →
mirage13–50.0024%25 Jan →
inferno13–60.0113%25 Jan →
mirage12–120.0422%13 Jan →
anubis13–60.1618%13 Jan →
inferno13–40.0820%13 Jan →
nuke13–8-0.0218%13 Jan →
dust212–12-0.0216%2 Jan →
mirage8–13-0.0222%27 Dec →
mirage5–13-0.0320%27 Dec →
inferno13–60.0117%27 Dec →
mirage13–9-0.0510%26 Dec →
mirage13–90.0226%26 Dec →
inferno13–100.045%19 Dec →
mirage13–60.0311%11 Dec →
inferno5–130.0210%10 Dec →
vertigo4–13-0.047%10 Dec →
vertigo3–1-0.01100%10 Dec →
overpass13–3-0.0320%10 Dec →
dust29–13-0.0717%10 Dec →
inferno9–40.1012%13 May →
mirage8–8-0.086%13 May →
cache9–6-0.0413%13 May →
cache5–9-0.0722%7 May →
overpass9–30.018%7 May →
mirage9–4-0.0015%7 May →
overpass9–10.038%7 May →
inferno7–9-0.0318%7 May →
mirage2–9-0.090%7 May →
mirage9–60.0817%7 May →
inferno3–9-0.1011%30 Apr →
overpass2–90.002%30 Apr →
overpass4–9-0.024%30 Apr →
dust27–9-0.0623%30 Apr →
inferno5–9-0.029%30 Apr →
nuke9–7-0.088%30 Apr →
dust29–20.004%30 Apr →
overpass9–60.0414%29 Apr →
mirage9–70.0310%29 Apr →
dust29–5-0.0117%29 Apr →
mirage4–9-0.1412%29 Apr →
overpass9–40.0320%29 Apr →
mirage9–70.0311%29 Apr →
mirage3–9-0.124%29 Apr →
dust24–16-0.058%2 Apr →
cache9–50.0220%2 Apr →
dust216–70.0417%2 Apr →
dust28–8-0.0832%2 Apr →
dust29–20.075%2 Apr →
mirage2–9-0.1027%2 Apr →
inferno8–8-0.000%2 Apr →
vertigo3–9-0.100%1 Apr →
mirage9–40.0916%1 Apr →
mirage2–9-0.0222%1 Apr →
mirage4–9-0.0613%1 Apr →
overpass9–50.026%31 Mar →
vertigo1–9-0.1311%28 Mar →
cache15–150.005%24 Apr →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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